Kei Kobayashi

According to our database, Kei Kobayashi authored at least 31 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Calligraphy Experience System That Conveys the Relationship Between Kanji and Nature.

Kei Kobayashi, Kazuma Nagata

Proceedings of the ACM SIGGRAPH 2023 Immersive Pavilion, 2023

2022

Instruction pictograms for experience-based displays and their use cases.

Kei Kobayashi, Junichi Hoshino

Entertain. Comput., 2022

2021

Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions.

Qijun Tong, Kei Kobayashi

Entropy, 2021

Enhancing Hierarchical Information by Using Metric Cones for Graph Embedding.

Daisuke Takehara, Kei Kobayashi

CoRR, 2021

Table-Based Interactive System for Augmenting Japanese Food Culture Experience.

Kei Kobayashi, Kazuma Nagata, Junichi Hoshino

Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

Instruction Pictograms for Interactive Entertainment.

Kei Kobayashi, Junichi Hoshino

Proceedings of the Entertainment Computing - ICEC 2021, 2021

2020

Empirical geodesic graphs and CAT(k) metrics for data analysis.

Kei Kobayashi, Henry P. Wynn

Stat. Comput., 2020

Strong approximation of time-changed stochastic differential equations involving drifts with random and non-random integrators.

Sixian Jin, Kei Kobayashi

CoRR, 2020

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Ryo Kamoi, Kei Kobayashi

CoRR, 2020

Augmented Reality Media for Experiencing Worship Culture in Japanese Shrines.

Kei Kobayashi, Junichi Hoshino

Proceedings of the Entertainment Computing - ICEC 2020, 2020

Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions.

Ryo Kamoi, Kei Kobayashi

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice.

Ryo Kamoi, Kei Kobayashi

CoRR, 2019

FUROSHIKI: Augmented Reality Media That Conveys Japanese Traditional Culture.

Kei Kobayashi, Kazuma Nagata, Soh Masuko, Junichi Hoshino

Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry, 2019

Improving speech intelligibility using microphones on behind the ear hearing aids.

Yusuke Hioka, Kei Kobayashi, Kenta Niwa

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

2018

Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification.

Tatsuhiro Aoshima, Kei Kobayashi, Mihoko Minami

CoRR, 2018

2017

Augmented Reality Media for Cultural Experience in Shrines.

Kei Kobayashi, Junichi Hoshino

Proceedings of the Entertainment Computing - ICEC 2017, 2017

2016

An efficient broadcast-based information transfer method based on location data over MANET.

Yosuke Totani, Kei Kobayashi, Keisuke Utsu, Hiroshi Ishii

J. Supercomput., 2016

A proposal on location data supplementing information transfer method over MANET.

Kei Kobayashi, Yosuke Totani, Keisuke Utsu, Hiroshi Ishii

J. Supercomput., 2016

Achieving secure communication over MANET using secret sharing schemes.

Kei Kobayashi, Yosuke Totani, Keisuke Utsu, Hiroshi Ishii

J. Supercomput., 2016

A study on effective flooding over MANET based on exchange of neighbor information.

Naoya Imaizumi, Kei Kobayashi, Keisuke Utsu, Hiroshi Ishii

J. Supercomput., 2016

Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Surface Potential Measurement of Organic Multi-layered Films on Electrodes by Kelvin Probe Force Microscopy.

Nobuo Satoh, Shigetaka Katori, Kei Kobayashi, Kazumi Matsushige, Hirofumi Yamada

IEICE Trans. Electron., 2015

Reducing Hubness for Kernel Regression.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Similarity Search and Applications - 8th International Conference, 2015

Reducing Hubness: A Cause of Vulnerability in Recommender Systems.

Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Localized Centering: Reducing Hubness in Large-Sample Data.

Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Weighting of acoustic cues shifts to frication duration in identification of fricatives/affricates when auditory properties are degraded due to aging.

Keiichi Yasu, Takayuki Arai, Kei Kobayashi, Mitsuko Shindo

Proceedings of the INTERSPEECH 2013, 2013

Asymptotically Efficient Estimators for Algebraic Statistical Manifolds.

Kei Kobayashi, Henry P. Wynn

Proceedings of the Geometric Science of Information - First International Conference, 2013

2010

Mode Switching and Collective Behavior in Chemical Oil Droplets.

Naoto Horibe, Kei Kobayashi, Martin M. Hanczyc, Takashi Ikegami

Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2006

Information criteria for support vector machines.

Kei Kobayashi, Fumiyasu Komaki

IEEE Trans. Neural Networks, 2006

2002

Crystal Voronoi diagram and its applications.

Kei Kobayashi, Kokichi Sugihara

Future Gener. Comput. Syst., 2002

2001

Crystal Voronoi Diagram and Its Applications to Collision-Free Paths.

Kei Kobayashi, Kokichi Sugihara

Proceedings of the Computational Science - ICCS 2001, 2001